healthcare-datasets

There are 54 repositories under healthcare-datasets topic.

  • leanderme/sytora

    A sophisticated smart symptom search engine

    Language:JavaScript167101490
  • medtorch/awesome-healthcare-ai

    A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.

  • monk1337/Aweome-Heathcare-Federated-Learning

    A curated list of Federated Learning papers/articles and recent advancements.

  • sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis

    Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

    Language:Jupyter Notebook371014
  • mingzhu0527/HAR

    Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"

    Language:Jupyter Notebook22364
  • gregbeaumont/PowerPopHealth

    Power Pop Health is a collection of content intended to simplify the process of ingesting and prepping Healthcare Open Data using Azure data tools and Power BI. Moving forward the overarching theme will be data related to Population Health, but other sources pertinent to Healthcare will also be included.

  • tanveer-hussain/Baby-behavior-monitoring-IoT

    Embedded Vision for Baby Behavior Monitoring in IoT

    Language:Python14306
  • Project-Herophilus/DataSynthesis

    DataSynthesis Platform - Synthetic data building, generating platform for multiple business types

    Language:Jupyter Notebook9124810
  • kylefirst/Disrupting-Healthcare-with-AI

    CMSC389I Fall 2018 @ UMD

    Language:Jupyter Notebook8307
  • hchauvin/health-dataset-generator

    Synthetic health dataset generator

    Language:Scala6201
  • SrikarKashyap/datascience-tutorials

    Data Science tutorials authored by me. Will be updated as I create them/learn them!

    Language:Jupyter Notebook6300
  • AustinWalsh/Datasets-COVID-19

    This is a repository of links and files with citations of available datasets.

  • chriswilson1982/drug-data-api

    A data parsing script and API providing UK Dictionary of Medicines and Devices (DM+D) data linked to the Global Trade Identification Number (GTIN) of a product.

    Language:Python5201
  • Ertugrulmert/ECG-Time-Series-Classification

    Deep learning models for classifying ECG time series

    Language:Jupyter Notebook5101
  • MolecularMatch/mm-public-scripts

    Short scripts to demonstrate data available from MolecularMatch API (api key needed). Data includes clinical trials, drugs, publications, molecular information, bioinformatics, report generation and more.

    Language:Python5511
  • spsanderson/healthyR.data

    Data sets for the healthyR package.

    Language:R53543
  • AkankshaJagdish/medchatbot

    A simple flask based app for use in healthcare

    Language:CSS3131
  • andrewallenbruce/costoffice

    Physician Office Visit Cost Data :package:

    Language:R3100
  • ImmunoLynk/ipfs-server

    COVID Immunity anonymized testing results registered to the IPFS for public healthcare use.

    Language:Python3102
  • aflip/resource-med

    Medical /Clinical /Healthcare datasets

  • Arvindhh931/Healthcare_Analyitics-CAPSTONE-Project-

    Importance of HBA1c in predictive Modeling of probability of Hospital Re-admission (CAPSTONE PROJECT)

    Language:Jupyter Notebook2101
  • Olliang/COVID-19-Forecasting

    A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.

    Language:Jupyter Notebook2200
  • PB3002/ViMedical_Disease

    A Vietnamese dataset of over 12 thousands questions about common disease symptoms. Perfect for researchers and developers building Vietnamese healthcare chatbots or disease prediction models.

  • pogags/Breast-Cancer-Diagnostic

    This repository contains the code and conclusions from a Breast Cancer Detection Machine Learning project. This project using FNA imaging and classification models to determine if breast cancer cells are malignant or benign

    Language:Jupyter Notebook2200
  • rachel-pai/healthOpenDataset

    Collecting dutch healthcare related opendataset & analyzing important factors for NL coronovirus infected number

    Language:Jupyter Notebook20
  • sandibaeva52/Early-stage-diabetes-risk-prediction-analysis

    This dataset contains the sign and symptom data of newly diabetic or would-be diabetic patients. The data were collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh, and approved by a doctor.

    Language:Jupyter Notebook2200
  • chs74515/SpringHealthyEhrAnalysis

    A Spring Boot Application with a Thymeleaf Frontend. Java + Spring Boot framework. MVC and Data transfer Object Design Pattern DTOD), Using an open-source REST client - Spring REST template.

    Language:Java10
  • xray_diagnosis_tensorflow

    coreycoole/xray_diagnosis_tensorflow

    Process chest x-ray image data, varified and labeled by medical professionals. Using TensorFlow and the Keras API, create and validate convolution neural networks that learn to recognize the presence of pneumonia in the lungs.

    Language:Jupyter Notebook1201
  • imfaisalmalik/IoT-Healthcare-Security-Dataset

    IoT Healthcare Security Code and Dataset

    Language:Jupyter Notebook1101
  • M123shashank/CP3_Cardiovascular-Risk-Prediction

    It is a Capstone project. A model has been created to predict for the heart diseases. It can be very useful for the health sector as cardiovascular diseases are rapidly increasing. The record contains patients' information. It includes over 4,000 records and 15 attributes.

    Language:Jupyter Notebook10
  • pballent/hia-covid

    In December 2020, I compiled COVID data from a few different publicly available sources as part of a term project for a class in the Health Informatics and Analytics MSc program at the Tufts University School of Medicine: HIA 217 Multivariable Data Analysis and Visualization. I created a dataset using Python, accessing COVID-19 case and location data through APIs from the US Census and the COVID Tracking Project, and then performed a variety of time-series analysis using linear regression, chi squared tests, and data visualization using Seaborn and Matplotlib in Python and Tableau.

    Language:Jupyter Notebook1200
  • Project-Herophilus/DataSimulators

    Specific Data Simulators designed to help with the implementation of iDaaS

    Language:Java1783
  • PurvaTijare/Healthcare-Diabetes

    NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and consequential diseases. The dataset used in this project is originally from NIDDK. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Build a model to accurately predict whether the patients in the dataset have diabetes or not.

    Language:Jupyter Notebook10
  • salimwid/Predictive_Modeling_to_Identify_Diabetic_Patients

    [Python] Machine Learning models to predict the diabetes status of individuals in the United States

    Language:HTML1210